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Identify IHSN registries by their 'idno' rather than 'title' #19

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Identify IHSN registries by their 'idno' rather than 'title' #19

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16 changes: 8 additions & 8 deletions app.R
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Original file line number Diff line number Diff line change
Expand Up @@ -463,18 +463,18 @@ download.file(url = "http://catalog.ihsn.org/index.php/catalog/export/csv?ps=200
# Load the data
ihsn <- read_csv("ihsn.csv")

# strings/patterns in survey titles that are characteristics to survey type
dhs_str <- "Demographic and Health Survey|D.mographique et de Sant.|Demograf.a y Salud|Demografia e Sa.de|National Family Health Survey"
mics_str <- "Multiple Indicator|Indicadores M.ltipl|Indicateurs Multiples"
# identifying the surveys by their ID rather than their title
dhs_str <- "_DHS_|_MIS_|_AIS_"
mics_str <- "_MICS_"
popCensus <- "_PHC_"
agCensus <- "_AgC_"

# columns selecting surveys according to survey type
ihsn_src <- ihsn %>%
mutate(Source = "",
Source = ifelse(str_detect(title, dhs_str), "Demographic and Health Survey (DHS)", Source),
Source = ifelse(str_detect(title, mics_str), "Multiple Cluster Indicator Survey (MICS)", Source),
Source = ifelse(str_detect(title, "Census") &
!str_detect(title, "Agric|Econom|Livestock|Establ|School|Microfi|Insustr|Facilit"),
"Population Census", Source)) %>%
Source = ifelse(str_detect(idno, dhs_str), "DHS", Source),
Source = ifelse(str_detect(idno, mics_str), "MICS", Source),
Source = ifelse(str_detect(idno, popCensus), "Population Census", Source)) %>%
# TODO: add new classes matching the added patterns (Afrobarometer, LSMS...)
#convert country names to the ones used in googlespreadsheet
left_join(ihsn_countries, by = c("nation" = "ihsn_cnames")) %>%
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